Character speller and character spell test method on the basis of brain-computer interface based on motor imagery

Abstract

The invention relates to the technical field of a brain-computer interface based on motor imagery and provides a character speller on the basis of an MI-BCI (Brain-Computer Interface Based on Motor Imagery). A new instruction coding thought is provided. Compared with a traditional brain-computer interface based on motor imagery, the character speller and the character spell test method have the advantage of effectively expanding an instruction set of the MI-BCI. According to the character speller and the character spell test method, the new development direction is created for developing the MI-BCI. A complete BCI system can be obtained through further research. Considerable social benefit and economic benefit are expected. The technical scheme of the character speller and the character spell test method is that the character speller on the basis of the brain-computer interface based on motor imagery is composed of an electroencephalogram signal collection module, an electroencephalogram signal processing module and character display and output modules. The electroencephalogram signal collection module comprises a 64-lead electrode cap and an electroencephalogram signal amplifier. The signal processing module and the display module are integrated in the same computer. The electroencephalogram signal processing module is composed of a feature extraction module and a mode identification module. The character speller and the character spell test method are mainly applied to the brain-computer interface occasion.

Description

technical field [0001] The invention relates to the technical field of motor imagery brain-computer interface, specifically, a character speller based on motor imagery brain-computer interface. Background technique [0002] Brain-Computer Interface (BCI) technology provides a new information exchange pathway between the brain and external devices, independent of the normal output channels of the peripheral nerves and muscles of the brain. Its main working principle is: collect the EEG signals of people in different task states, use signal processing methods to analyze different EEG patterns, and then establish information interaction between the human brain and external devices through certain engineering techniques The channel realizes a new control process. The development of this technology not only provides new ideas for human beings to decode the consciousness of the brain, but also provides an effective way for disabled patients with normal thinking but paralyzed limb...

AI Technical Summary

Problems solved by technology

However, the operation of these instruction extension methods is complicated. While expanding the instruction set, it also greatly increases the difficulty of the user's operation. At the same time, it is more urgent that these methods are not enough to effectively expand the instruction set. Large instruction set for character output

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